Diagnostic efficacy of 18F-FDG PET-CT for focal hypermetabolic thyroid nodules
10.3760/cma.j.issn.0253-3766.2017.10.008
- VernacularTitle: 18F－FDG PET－CT显像对甲状腺高代谢结节的诊断效能
- Author:
Yan CHENG
1
;
Ping WU
1
;
Fen DU
1
;
Zhifang WU
1
;
Haiyan LIU
1
;
Xinzhong HAO
1
;
Sijin LI
1
Author Information
1. Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Molecular Imaging Precision Medicine Collaborative Innovation Center of Shanxi Province, Taiyuan 030001, China
- Publication Type:Clinical Trail
- Keywords:
Thyroid neoplasms;
Deoxyglucose;
Tomography, emission-computed;
Tomography, X-ray computed;
Hypermetabolic thyroid nodules
- From:
Chinese Journal of Oncology
2017;39(10):759-763
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the diagnostic efficacy of by 18F-FDG PET-CT for hypermetabolic thyroid nodules.
Methods:To retrospectively analyze the clinical data of 3 192 patients underwent 18F-FDG PET-CT in our hospital from May 2012 to October 2014. Among them, 98 patients were diagnosed with focal hypermetabolic thyroid nodules. 61 of the 98 patients were diagnosed with malignant or benign thyroid nodules using histopathological or clinical follow-up (22 malignant nodules, 39 benign nodules). The average age of these 61 patients was 61.6±12.5 years.
Results:The lgSUVmax of malignant group (0.69±0.31) was significantly higher than that in benign group (0.43±0.27) (P=0.001). There was no significant difference in age, gender, nodule size, minimum diameter of nodule, lgCT, calcification, the boundary definition, density uniformity, and history of malignancy between the two groups (P>0.05). Binary Logistic regression indicated the AUC of Logistic regressive model(AUC) was 0.866±0.049 (95% CI: 0.769-0.963), and the malignant AUCs of ROC curve was 0.747±0.068 (95%CI: 0.614-0.880) which was only determined by lgSUVmax. The difference was statistically significant (P<0.01).
Conclusion:18F-FDG PET-CT imaging can not only detect hypermetabolic thyroid nodules, but also have a certain clinical value for the identification of benign and malignant nodules.
